About Flownium

Flownium is a technology company building the AI governance layer for regulated industries. We structure critical processes into versioned, approved workflows that run entirely inside our customers' infrastructure. No data leaves the environment, and every AI-driven decision is traceable, justified, and audit-ready.

Company information

Website
flownium.ai
General inquiries
contact@flownium.ai
Security disclosures
security@flownium.ai
Industry
AI governance for regulated industries

Leadership

Michael Masson

Michael Masson

Co-founder & CEO

Michael is a biotechnology engineer with more than a decade in pharmaceutical and medical-device operations. He has led Quality and MSAT teams, managed complex investigations and improved how regulated work is carried out.

At Flownium, he brings Quality Assurance expertise to the product: shaping how teams investigate issues, follow procedures, review decisions and keep records that stand up to scrutiny.

Victor Levy

Victor Levy

Co-founder & CTO

Victor has an engineering degree from CentraleSupélec and more than a decade of experience building software and leading engineering teams. His work spans large-scale platforms and AI systems deployed in production.

At Flownium, he brings software engineering expertise to the product: shaping how teams execute workflows, connect their systems, oversee AI outputs and trace every decision to its source.

Advisory board

Arie Menachem

Arie Menachem

Advisory board member

Arie Menachem has spent his 30+ year career in the pharmaceutical industry on both sides of the inspection table. During his nearly six years as an FDA Investigator, he inspected close to 60 pharmaceutical manufacturing sites and saw first hand where quality systems hold, and where they give way under scrutiny. He now works on the industry side of quality and is active within as Chair of the ISPE Nordic Affiliate, where he helps the community keep pace with digitalisation and AI.

He joins Flownium's advisory board to challenge the way it is built: what regulators actually expect from AI in GxP processes, and what it takes for a company to prove its quality work rather than simply claim it.